gpt2_small_expandedbabyLM_100M_coord_200percent_44
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.6054
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 256
- eval_batch_size: 256
- seed: 44
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 4000
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.9321 | 1.0 | 4567 | 4.1777 |
| 3.5738 | 2.0 | 9134 | 3.7487 |
| 3.4281 | 3.0 | 13701 | 3.6792 |
| 3.341 | 4.0 | 18268 | 3.6499 |
| 3.2752 | 5.0 | 22835 | 3.6344 |
| 3.2295 | 6.0 | 27402 | 3.6343 |
| 3.1873 | 7.0 | 31969 | 3.6054 |
| 3.1599 | 8.0 | 36536 | 3.7084 |
| 3.1299 | 9.0 | 41103 | 3.7063 |
| 3.103 | 10.0 | 45670 | 3.7020 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.11.0+cu130
- Datasets 4.1.1
- Tokenizers 0.13.3
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